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      Natural variation MeMYB108 associated with tolerance to stress-induced leaf abscission linked to enhanced protection against reactive oxygen species in cassava

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          Abstract

          Key Message

          Natural variation of the MeMYB108 exon was associated with reactive oxygen scavengers led to alleviate leaf abscission under drought in cassava.

          Abstract

          The reactive oxygen scavengers play important roles in regulating the cassava ( Manihot esculenta Crantz) leaf abscission induced by stresses. To date, the relationship between natural variations of MYB genes and reactive oxygen scavengers under drought in cassava genotypes remains unclear. Here, we reported the transcription factor MeMYB108 played an important role in regulating leaf abscission exposed to drought in cassava. The expression levels of MeMYB108 in abscission zones of cassava leaf pulvinus were higher in cassava genotype SC124, which were less easy to shed leaves under stress than cassava genotype SC8 when the leaf abscission induced by the same drought condition. Compared with wild type and interference expression plants, overexpression of MeMYB108 significantly reduced the drought-induced leaf abscission rate under drought. The consecutively 2-year analysis of reactive oxygen scavengers showed significant differences among different cassava genotypes under drought-induced leaf abscission, indicating the relevance between reactive oxygen scavengers and leaf abscission. Correlation analysis revealed the natural variation of the MeMYB108 exon was associated with reactive oxygen scavengers during drought-induced leaf abscission. Association analysis between pairwise LD of DNA polymorphism indicated the MeMYB108 allele enhanced the tolerance of cassava to drought-induced leaf abscission. Complementation transgenic lines containing the elite allele of MeMYB108 SC124 decreased the leaf abscission rate induced by drought conditions, demonstrating natural variation in MeMYB108 contributed to leaf abscission tolerance induced by drought in cassava. Further studies showed MeMYB108 played an active role in the tolerance of cassava to drought-induced leaf abscission by inducing scavenging of reactive oxygen species.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00299-022-02879-6.

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          DnaSP v5: a software for comprehensive analysis of DNA polymorphism data.

          P Librado, J Rozas (2009)
          DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser. Freely available to academic users from: (http://www.ub.edu/dnasp).
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            GSDS 2.0: an upgraded gene feature visualization server

            Bo Hu, Jinpu Jin, An-Yuan Guo … (2014)
            Summary: Visualizing genes’ structure and annotated features helps biologists to investigate their function and evolution intuitively. The Gene Structure Display Server (GSDS) has been widely used by more than 60 000 users since its first publication in 2007. Here, we reported the upgraded GSDS 2.0 with a newly designed interface, supports for more types of annotation features and formats, as well as an integrated visual editor for editing the generated figure. Moreover, a user-specified phylogenetic tree can be added to facilitate further evolutionary analysis. The full source code is also available for downloading. Availability and implementation: Web server and source code are freely available at http://gsds.cbi.pku.edu.cn. Contact: gaog@mail.cbi.pku.edu.cn or gsds@mail.cbi.pku.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online.
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              MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.

              K Tamura, J. Dudley, M Nei … (2007)
              We announce the release of the fourth version of MEGA software, which expands on the existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment, analyzing sequence alignments to estimate evolutionary distances, inferring phylogenetic trees, and testing evolutionary hypotheses. Version 4 includes a unique facility to generate captions, written in figure legend format, in order to provide natural language descriptions of the models and methods used in the analyses. This facility aims to promote a better understanding of the underlying assumptions used in analyses, and of the results generated. Another new feature is the Maximum Composite Likelihood (MCL) method for estimating evolutionary distances between all pairs of sequences simultaneously, with and without incorporating rate variation among sites and substitution pattern heterogeneities among lineages. This MCL method also can be used to estimate transition/transversion bias and nucleotide substitution pattern without knowledge of the phylogenetic tree. This new version is a native 32-bit Windows application with multi-threading and multi-user supports, and it is also available to run in a Linux desktop environment (via the Wine compatibility layer) and on Intel-based Macintosh computers under the Parallels program. The current version of MEGA is available free of charge at (http://www.megasoftware.net).
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                Author and article information

                Contributors
                Wenbin Liao:
                ORCID: http://orcid.org/0000-0001-6276-2180
                liaowenbin@itbb.org.cn
                Ming Peng: mingpengcatas@gmail.com
                Journal
                Journal ID (nlm-ta): Plant Cell Rep
                Journal ID (iso-abbrev): Plant Cell Rep
                Title: Plant Cell Reports
                Publisher: Springer Berlin Heidelberg (Berlin/Heidelberg )
                ISSN (Print): 0721-7714
                ISSN (Electronic): 1432-203X
                Publication date (Electronic): 24 May 2022
                Publication date PMC-release: 24 May 2022
                Publication date (Print): 2022
                Volume: 41
                Issue: 7
                Pages: 1573-1587
                Affiliations
                [1 ]GRID grid.453499.6, ISNI 0000 0000 9835 1415, Institute of Tropical Bioscience and Biotechnology, , Chinese Academy of Tropical Agricultural Sciences, ; Haikou, 571101 China
                [2 ]GRID grid.453499.6, ISNI 0000 0000 9835 1415, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, , Chinese Academy of Tropical Agricultural Sciences, ; Haikou, China
                [3 ]GRID grid.412067.6, ISNI 0000 0004 1760 1291, College of Life Sciences, , Heilongjiang University, ; Heilongjing, 150080 China
                Author notes

                Communicated by Zheng-Yi Xu.

                Author information
                http://orcid.org/0000-0001-6276-2180
                Article
                Publisher ID: 2879
                DOI: 10.1007/s00299-022-02879-6
                PMC ID: 9270272
                PubMed ID: 35608655
                SO-VID: c17f7efc-81a9-415e-b05f-0e48e6c84478
                Copyright © © The Author(s) 2022
                License:

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Date received : 1 January 2022
                Date accepted : 26 April 2022
                Funding
                Funded by: National Key Research and Development Project
                Award ID: 2019YFD1000500
                Award ID: 2018YFD100003
                Award Recipient :
                Categories
                Subject: Original Article
                Custom metadata
                issue-copyright-statement © Springer-Verlag GmbH Germany, part of Springer Nature 2022

                ScienceOpen disciplines: Plant science & Botany
                Keywords: myb transcription factor,natural variation,leaf abscission,reactive oxygen scavengers,drought,cassava
                Data availability:
                ScienceOpen disciplines: Plant science & Botany
                Keywords: myb transcription factor, natural variation, leaf abscission, reactive oxygen scavengers, drought, cassava

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